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Since the pandemic, businesses have aggressively adopted the digitalization of all their functions and processes leading to a multi-fold increase in the number of applications within an organization. Today on average, enterprises have 1000+ applications playing an integral part in running an enterprise business. Hence any impact on the applications, directly impacts the business. Moreover, this mesh of applications has made deployments much more complex to manage and monitor. While this much-required journey has enabled enterprises to embrace digitalization, it has put a lot of stress and challenges on the IT operations (ITOps) team who are responsible to ensure all applications and infrastructure adheres to the stated business service level agreement (SLA) and service level objective (SLO).
Hence, AIOps (Artificial intelligence in IT operations) has become a need and is on its way to becoming pervasive in deployments across enterprises. Having the right AIOps strategy for enterprises is moving from a nice-to-have to a must-have list and is poised for rapid growth and maturity in near future.
AIOps: A Boon to ITOps
To understand the importance of AIOps, let’s take an example from the financial sector which is highly regulated and mandates strict compliance norms for SLAs...